4.1 Incentive Structure for Educational Stakeholders

XIIID establishes an incentive structure that enables diverse educational stakeholders to collaborate and exchange value in a multinational environment.

Stakeholder-Specific Incentive Systems The XIIID ecosystem provides tailored incentive structures for the following stakeholder groups:

Learner Incentives:

• Rewards for achieving learning goals, sustained participation, and knowledge sharing.

• Token distribution proportional to activities with educational value.

• Issuance of NFT badges and certificates based on learning achievements.

Educator and Content Creator Incentives:

• Ongoing royalties for creating high-quality educational content.

• Performance-based rewards tied to contributions to learner outcomes.

• Recognition for developing and sharing effective educational methodologies.

AI Model Developer Incentives:

• Rewards for developing and improving education-specific AI models.

• Sustained revenue generation based on model usage and performance.

• Additional incentives for providers of region-specific, customized models.

Infrastructure Provider Incentives:

• Usage-based rewards for providing computing resources and storage.

• Governance rights granted to long-term contributors.

Value Exchange Mechanisms Value exchange within the XIIID ecosystem is facilitated through the following mechanisms:

Multi-Party Escrow: A secure transaction system supports complex value exchanges among data providers, AI developers, and content creators. This ensures fair compensation for all contributors in multifaceted educational projects involving multiple stakeholders.

Dynamic Tokenomics Model: Introduces a mechanism that automatically adjusts incentives and rewards based on ecosystem supply and demand. For instance, when demand for specific domains (e.g., rare language educational content) increases, rewards for that domain are automatically boosted to stimulate supply.

Usage-Based API Fees: Implements a fair billing system based on actual usage of AI models and service APIs, enabling small-scale educational startups and individual developers to access advanced AI functionalities at low costs.

Contribution-Based Rewards: Objectively measures each participant’s contribution in collaborative projects and distributes rewards proportionally, forming the foundation for a cooperative educational ecosystem.

Cross-Border Value Transfer: Provides an efficient value transfer system to address challenges such as exchange costs and remittance delays in cross-border transactions for educational services and content.